A Heuristic Approach to Acquisition of Minimum Decision Rule Sets in Decision Systems. - Zuqiang Meng; Liang Jiang; Hongyan Chang; Yuansheng Zhang (IIP, 2014)

一种新的决策粗糙集启发式属性约简算法 (New Heuristic Algorithm for Attribute Reduction in Decision-theoretic Rough Set). - Hongyan Chang; Zuqiang Meng (计算机科学, 2016)

Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer. - Hongyan Chang; Virat Shejwalkar; Reza Shokri; Amir Houmansadr (CoRR, 2019)

On Adversarial Bias and the Robustness of Fair Machine Learning. - Hongyan Chang; Ta Duy Nguyen; Sasi Kumar Murakonda; Ehsan Kazemi 001; Reza Shokri (CoRR, 2020)

On the Privacy Risks of Algorithmic Fairness. - Hongyan Chang; Reza Shokri (EuroS&P, 2021)

On The Impact of Machine Learning Randomness on Group Fairness. - Prakhar Ganesh; Hongyan Chang; Martin Strobel 001; Reza Shokri (FAccT, 2023)

Bias Propagation in Federated Learning. - Hongyan Chang; Reza Shokri (ICLR, 2023)

Efficient Privacy Auditing in Federated Learning. - Hongyan Chang; Brandon Edwards; Anindya S. Paul; Reza Shokri (USENIX Security Symposium, 2024)

Watermark Smoothing Attacks against Language Models. - Hongyan Chang; Hamed Hassani; Reza Shokri (CoRR, 2024)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. - Hongyan Chang; Ali Shahin Shamsabadi; Kleomenis Katevas; Hamed Haddadi; Reza Shokri (CoRR, 2024)